Song Yu, Zeng Kai, Zhang Li-Kun, Zhang Jian-Nan, Zhang Kai-Li, Xin Yu, Wang Xin-Ran, Zhou Yu-Xin, Li Hong-Xu, Wang Chang-Song, Yu Kai-Jiang
Key Laboratory of Critical Care Medicine of Heilongjiang Province; Department of Critical Care Medicine, The First Affiliated Hospital of Harbin Medical University, Harbin, People's Republic of China.
J Inflamm Res. 2025 Apr 24;18:5545-5553. doi: 10.2147/JIR.S503276. eCollection 2025.
We aimed to explore the differences of neutrophil elastase (NE) levels between intensive care unit (ICU) and non-ICU patients with COVID-19 infection, as well as its predictive value for COVID-19 progression.
We enrolled the patients admitted with a primary diagnosis of COVID-19. All patients in ICU were diagnosed with the critical type upon admission. Blood was taken within 24 hours, followed by examination of the blood NE level and urine NE level. Other clinical features were recorded. A logistic regression model was used to predict ICU admission.
A total of 83 patients were diagnosed, including 52 non-ICU cases and 31 ICU cases. The ICU group showed significantly elevated levels of Neutrophil%, Cr, D-dimer (DD), Procalcitonin (PCT), and C-reactive protein (CRP). Meanwhile, the CD3-cell, T4-cell, and Lymphocyte% levels were lower in the ICU group. Notably, the blood NE levels were similar between groups, whereas the urine NE level was highly significantly higher in the ICU group vs the non-ICU group. After dimension reduction, we constructed a logistic model (UD) using only two factors: the urine NE level and the blood DD level. The overall accuracy of was 86.1%. The urine NE has a strong efficacy in ICU prediction (AUC = 0.893), and the performance of the UD model was even better (AUC = 0.933).
Urine NE level is a useful predictor of COVID-19 progression, particularly in patients requiring ICU care. Urine NE has a significantly positive correlation with neutrophil%, DD, and PCT, as well as a negative correlation with lymphocyte levels.
我们旨在探讨新型冠状病毒肺炎(COVID-19)感染的重症监护病房(ICU)患者与非ICU患者中性粒细胞弹性蛋白酶(NE)水平的差异,及其对COVID-19病情进展的预测价值。
我们纳入了以COVID-19为主要诊断入院的患者。所有ICU患者入院时均被诊断为危重型。在24小时内采集血液,随后检测血液NE水平和尿液NE水平。记录其他临床特征。使用逻辑回归模型预测入住ICU情况。
共诊断83例患者,包括52例非ICU病例和31例ICU病例。ICU组的中性粒细胞百分比、肌酐、D-二聚体(DD)、降钙素原(PCT)和C反应蛋白(CRP)水平显著升高。同时,ICU组的CD3细胞、T4细胞和淋巴细胞百分比水平较低。值得注意的是,两组间血液NE水平相似,而ICU组的尿液NE水平显著高于非ICU组。降维后,我们仅使用尿液NE水平和血液DD水平这两个因素构建了一个逻辑模型(UD)。总体准确率为86.1%。尿液NE在预测ICU入住方面具有很强的效能(AUC = 0.893),而UD模型的表现更好(AUC = 0.933)。
尿液NE水平是COVID-19病情进展的有用预测指标,尤其是在需要ICU护理的患者中。尿液NE与中性粒细胞百分比、DD和PCT呈显著正相关,与淋巴细胞水平呈负相关。